RRI: Residual Randomization Inference for Regression Models

Testing and inference for regression models using residual randomization methods. The basis of inference is an invariance assumption on the regression errors. This includes cluster errors, and exchangeability within clusters or sign symmetry across clusters.

Version: 1.0
Imports: Rcpp (≥ 1.0.1)
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-07-15
Author: Panos Toulis
Maintainer: Panos Toulis <panos.toulis at chicagobooth.edu>
License: GPL-2
NeedsCompilation: yes
CRAN checks: RRI results


Reference manual: RRI.pdf
Package source: RRI_1.0.tar.gz
Windows binaries: r-devel: RRI_1.0.zip, r-release: RRI_1.0.zip, r-oldrel: RRI_1.0.zip
OS X binaries: r-release: RRI_1.0.tgz, r-oldrel: RRI_1.0.tgz


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